Langfuse
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Langfuse is an open-source observability platform for LLM applications, supporting tracing, evaluation, prompt versioning, and cost analytics.
Langfuse is an open-source observability platform for LLM applications, supporting tracing, evaluation, prompt versioning, and cost analytics.
Helicone is an open-source proxy and observability platform for LLM applications, offering request tracing, caching, and cost analytics.
Open-source LLM engineering platform providing tracing, evaluations, prompt management, and dataset management with integrations for LangChain, OpenAI, Anthropic, and more.
Open-source LLM observability platform with one-line integration, providing request logging, caching, rate limiting, cost tracking, and experimentation.
An open-source, modern-design AI training tracking and visualization tool. Supports PyTorch, Transformers and more. Monitor and evaluate AI agent training processes.
A systematic guide to the three pillars of agent observability — distributed tracing, metrics monitoring, and automated evaluation — for building production-grade agent monitoring.
Read more →Based on real production experience, this guide explains how to build a closed loop of tracing, evaluation, and cost analytics for AI agents with Langfuse.
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